Large-scale study of long non-coding RNA functions based on structure and expression features

Yi Zhao; Jian Wang; Xiao Wei Chen; Hai Tao Luo; Yun Jie Zhao; Yi Xiao; Ren Sheng Chen

doi:10.1007/s11427-013-4556-3

Large-scale study of long non-coding RNA functions based on structure and expression features

Yi Zhao, Jian Wang, Xiao Wei Chen, Hai Tao Luo, Yun Jie Zhao, Yi Xiao, Ren Sheng Chen

Research output: Contribution to journal › Review article › peer-review

7 Scopus citations

Abstract

Mammals and other complex organisms can transcribe an abundance of long non-coding RNAs (lncRNAs) that fulfill a wide variety of regulatory roles in many biological processes. These roles, including as scaffolds and as guides for protein-coding genes, mainly depend on the structure and expression level of lncRNAs. In this review, we focus on the current methods for analyzing lncRNA structure and expression, which is basic but necessary information for in-depth, large-scale analysis of lncRNA functions.

Original language	English (US)
Pages (from-to)	953-959
Number of pages	7
Journal	Science China Life Sciences
Volume	56
Issue number	10
DOIs	https://doi.org/10.1007/s11427-013-4556-3
State	Published - Oct 2013

All Science Journal Classification (ASJC) codes

General Biochemistry, Genetics and Molecular Biology
General Environmental Science
General Agricultural and Biological Sciences

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10.1007/s11427-013-4556-3

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title = "Large-scale study of long non-coding RNA functions based on structure and expression features",

abstract = "Mammals and other complex organisms can transcribe an abundance of long non-coding RNAs (lncRNAs) that fulfill a wide variety of regulatory roles in many biological processes. These roles, including as scaffolds and as guides for protein-coding genes, mainly depend on the structure and expression level of lncRNAs. In this review, we focus on the current methods for analyzing lncRNA structure and expression, which is basic but necessary information for in-depth, large-scale analysis of lncRNA functions.",

author = "Yi Zhao and Jian Wang and Chen, {Xiao Wei} and Luo, {Hai Tao} and Zhao, {Yun Jie} and Yi Xiao and Chen, {Ren Sheng}",

note = "Funding Information: This work was supported by the National High Technology Research and Development Program of China (2012AA020402) and National Natural Science Foundation of China (11074084, 30970558).",

year = "2013",

month = oct,

doi = "10.1007/s11427-013-4556-3",

language = "English (US)",

volume = "56",

pages = "953--959",

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TY - JOUR

T1 - Large-scale study of long non-coding RNA functions based on structure and expression features

AU - Zhao, Yi

AU - Wang, Jian

AU - Chen, Xiao Wei

AU - Luo, Hai Tao

AU - Zhao, Yun Jie

AU - Xiao, Yi

AU - Chen, Ren Sheng

N1 - Funding Information: This work was supported by the National High Technology Research and Development Program of China (2012AA020402) and National Natural Science Foundation of China (11074084, 30970558).

PY - 2013/10

Y1 - 2013/10

N2 - Mammals and other complex organisms can transcribe an abundance of long non-coding RNAs (lncRNAs) that fulfill a wide variety of regulatory roles in many biological processes. These roles, including as scaffolds and as guides for protein-coding genes, mainly depend on the structure and expression level of lncRNAs. In this review, we focus on the current methods for analyzing lncRNA structure and expression, which is basic but necessary information for in-depth, large-scale analysis of lncRNA functions.

AB - Mammals and other complex organisms can transcribe an abundance of long non-coding RNAs (lncRNAs) that fulfill a wide variety of regulatory roles in many biological processes. These roles, including as scaffolds and as guides for protein-coding genes, mainly depend on the structure and expression level of lncRNAs. In this review, we focus on the current methods for analyzing lncRNA structure and expression, which is basic but necessary information for in-depth, large-scale analysis of lncRNA functions.

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JO - Science China Life Sciences

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Large-scale study of long non-coding RNA functions based on structure and expression features

Abstract

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